DataScava commissioned named IBM Distinguished Engineer Scott Spangler to discuss how our domain-specific approach to unstructured text mining complements real-world big data applications in artificial intelligence, machine learning, robotic process automation, business intelligence and research.
Scott is a former IBM Watson Health Researcher, Chief Data Scientist, and the author of the book “Mining the Talk: Unlocking the Business Value in Unstructured Information.”
The three-part article discusses:
- The pitfalls of using a fully automated approach to critical decision-making;
- The desirability of having a parallel human-machine partnership that regulates and monitors the inputs and outputs of automated approaches;
- The three basic ingredients that are needed to make that hybrid process successful and how DataScava implements each of these components.
Here’s the full LinkedIn article.